Dynamic Video Frame Sampling Rate Adjustment
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Solution Overview
Problem
Differences in sampling rates between transmitting and receiving devices in video transmission, such as in Wi-Fi display, cause phase shifts leading to quality loss and poor user experience due to dropped frames.
Innovation Solution
A method involving determining the frame rate of incoming video frames and dynamically adjusting the sampling rate to match or exceed the input frame rate, ensuring that frames are not missed during transmission, using timestamp information and potentially applying smoothing processes to maintain a stable frame rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed sampling rate is used in video transmission, then the receiving device can operate with a simple clock system, but frame drops occur due to phase shifts when sampling rates differ between transmitting and receiving devices
Solution Approach 1:
The patent implements dynamic sampling rate adjustment by detecting the input frame rate and continuously adapting the sampling rate to match it. The system transitions from a static fixed sampling rate to a dynamic adaptive sampling rate that changes based on the actual video content frame rate, thereby preventing frame drops while managing complexity through intelligent control algorithms
Solution Approach 2:
The patent changes the sampling rate parameter dynamically based on the detected frame rate of incoming video frames. By monitoring and adjusting the sampling rate parameter in real-time to match the source device's frame rate, the system eliminates phase shifts and frame drops without requiring complex hardware synchronization
2Reliability
If the sampling rate is increased to prevent frame drops, then video quality improves, but energy consumption and processing load increase
Solution Approach 1:
The patent dynamically adjusts the sampling rate parameter to match the actual frame rate of the video content rather than using a consistently high sampling rate. This adaptive parameter adjustment ensures high frame capture accuracy when needed while reducing processing energy consumption when the source frame rate is lower, optimizing the trade-off between reliability and energy usage
Data Source
AI summary
A technique, as well as select implementations thereof, pertaining to dynamic adjustment of video frame sampling rate is described. The technique may involve receiving a first video signal comprising a first plurality of video frames and determining a frame rate of the first plurality of video frames. The technique may also involve adjusting a sampling rate according to the determined frame rate of the first plurality of video frames. The technique may further involve sampling the first plurality of video frames at the adjusted sampling rate. The technique may additionally involve generating a second video signal comprising a second plurality of video frames based on the sampled first plurality of video frames.